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Unable to find Correlation Matrix option in modeling operator. Tried many times but same issue
Hello Everyone, I am looking for an operator (or any other way) to find the attribute importance of my model. I have selected an RF model and tried to use the operator "Weight by Tree Importance" to find the weights of my attributes. However, I received the following error message: Attribute Weights cannot be extracted…
Is there a way the "Explain Predictions" Operator could benefit from gpu (NVIDIA RTX A4000 with CUDA installed)?
I want to assign more weights to certain features which i find important before model building. And then send it to the model so that model can also understand that these are the important features. Is there a way to do this in rapidminer? Please guide me
Hello, I'm using Random Forest and Boosted Trees from AutoModel to prioritize the variables I'll use in modeling with neuralnetworks. So, for me, it's very important. So, for me, it is essential to know the "importance" of each dependent variable. As a result, AutoModel provides "Important factors for prediction", but I…